Developing AI Applications with Python and Flask

Grow your skills with Coursera Plus for $239/year (usually $399). Save now.

Developing AI Applications with Python and Flask

This course is part of multiple programs.

Instructors: Abhishek Gagneja +1 more

152,130 already enrolled

Included with

3 modules

Gain insight into a topic and learn the fundamentals.

1,350 reviews

Intermediate level

Recommended experience

Flexible schedule

1 week at 10 hours a week

Learn at your own pace

90%

Most learners liked this course

3 modules

Gain insight into a topic and learn the fundamentals.

1,350 reviews

Intermediate level

Recommended experience

Flexible schedule

1 week at 10 hours a week

Learn at your own pace

90%

Most learners liked this course

What you'll learn

Describe the steps and processes involved in creating a Python application including the application development lifecycle
Create Python modules, run unit tests, and package applications while ensuring the PEP8 coding best practices
Build and deploy web applications using Flask, including routing, error handling, and CRUD operations.
Create and deploy an AI-based application onto a web server using IBM Watson AI Libraries and Flask

Skills you'll gain

Category: Unit Testing
Category: Code Review
Category: Application Deployment
Category: Software Development Life Cycle
Category: Natural Language Processing
Category: Artificial Intelligence
Category: Programming Principles

Tools you'll learn

Category: Flask (Web Framework)
Category: Python Programming
Category: Restful API
Category: IBM Cloud
Category: Integrated Development Environments
Category: Web Applications

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 assignments¹

AI Graded see disclaimer

Taught in English

Build your subject-matter expertise

This course is available as part of

When you enroll in this course, you'll also be asked to select a specific program.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 3 modules in this course

This short course is designed to equip learners with foundational skills in Python for developing AI-enabled web applications using the Flask framework and Watson AI libraries. You will explore the end-to-end lifecycle of building scalable web applications, starting from writing clean and modular Python code to deploying complete AI-powered solutions.

The course begins by introducing Flask, a lightweight and flexible web framework, and helps learners build a strong foundation in web applications, APIs, and the overall development lifecycle. They will gain practical experience with the IBM Skills Network Cloud IDE, learn Python best practices including static code analysis, and write and run unit tests to ensure the reliability of their code. The course dives deeper into application development by teaching learners to build web applications with Flask covering topics such as routing, handling GET and POST requests, dynamic routes, and error management. By the end of the course, learners will complete a practice project and a final peer-reviewed project that showcases their ability to develop, test, and deploy AI-powered Flask applications. The hands-on experience gained throughout this course ensures learners are not only confident in their Python and Flask skills but are also ready to build intelligent web applications in real-world settings.

In this module, you will begin by understanding the differences between web applications and APIs, and the role each plays in application development. You will explore the application development lifecycle from gathering requirements to structuring code across multiple files and maintaining the application. You will get introduced to Flask and work on the IBM Skills Network Cloud IDE to install packages, write, run, and edit Python code. The module emphasizes writing clean code using PEP8 guidelines and performing static code analysis, ensuring the code adheres to the coding rules. Further, you will dive into unit testing, learning how to create, run, and interpret tests to validate your code’s functionality. Finally, the module guides you through creating Python modules, organizing them into packages, and verifying their functionality providing the foundation for packaging and distributing your Python applications.

What's included

7 videos3 readings2 assignments4 app items3 plugins

7 videosTotal 38 minutes

Introduction to the Course3 minutes
Application Development Lifecycle6 minutes
Introduction to Web Applications and APIs 5 minutes
Demo: Working with an IDE 6 minutes
Python Style Guide and Coding Practices 6 minutes
Unit Testing 7 minutes
Packaging 6 minutes

3 readingsTotal 10 minutes

Helpful Tips for Completing this Course 3 minutes
Prerequisites and Course Syllabus5 minutes
Module 1 Summary: Python Coding Practices and Packaging Concepts2 minutes

2 assignmentsTotal 40 minutes

Module 1 Graded Quiz: Python Coding Practices and Packaging Concepts30 minutes
Module 1 Practice Quiz: Python Coding Practices and Packaging Concepts10 minutes

4 app itemsTotal 105 minutes

Hands-on Lab: Getting Started with IDE 15 minutes
Hands-on Lab: Static Code Analysis30 minutes
Hands-on Lab: Practice Session and Assignment on Unit Testing30 minutes
Hands-on Lab: Practice Session and Assignment on Python Packaging30 minutes

3 pluginsTotal 25 minutes

Reading: Python with Flask for Large-Scale Projects5 minutes
Reading: Static Code Analysis Resources15 minutes
Module 1 Cheatsheet: Python Coding Practices and Packaging Concepts5 minutes

In this module, you will explore the differences between Python libraries and frameworks and understand how frameworks like Flask simplify web application development. You will be introduced to Flask’s core features and learn how to set up and run basic Flask applications. The module covers key web development concepts such as defining routes, handling request and response objects, working with dynamic URLs, and managing errors using appropriate status codes. You will also learn about decorators in Flask and how they are used in application logic. Through hands-on labs, you will build RESTful APIs, implement GET and POST request handling, and incorporate error handling techniques. The module concludes with deploying your Flask application on the web and implementing additional features like CRUD operations, dynamic URL generation, and form handling to build fully functional web applications.

What's included

7 videos1 reading2 assignments4 app items3 plugins

7 videosTotal 45 minutes

Python Libraries and Frameworks for Application Development4 minutes
Introduction to Flask 7 minutes
Flask - Basic Applications and Routes 8 minutes
Request and Response Objects – Using GET and POST Modes 8 minutes
Dynamic Routes 4 minutes
Error Handling6 minutes
Deploying Web Apps using Flask8 minutes

1 readingTotal 2 minutes

Module 2 Lesson Summary: Web App Deployment using Flask 2 minutes

2 assignmentsTotal 40 minutes

Module 2 Graded Quiz: Web App Deployment using Flask30 minutes
Module 2 Practice Quiz: Web App Deployment using Flask 10 minutes

4 app itemsTotal 155 minutes

Hands-on Lab: Get Started with Flask Basics20 minutes
Hands-on Lab: Building an API with Flask: Route Creation, Error Handling, and HTTP Requests45 minutes
Hands-on Lab: Building and Deploying a Web App using Flask App30 minutes
Hands-on Lab: Exploring Additional Features Flask60 minutes

3 pluginsTotal 30 minutes

Reading: Decorators in Flask10 minutes
Reading: Additional Features in Flask15 minutes
Module 2 Cheatsheet: Web App Deployment using Flask5 minutes

In this module, you will be introduced to Embeddable Watson AI libraries and apply them by building two AI-based applications. The practice project will provide you with a challenge to apply your programming skills and incorporate the IBM Watson libraries to build a text-based Sentiment Analysis tool. You will be provided guidance through each step of the project. The final project, Emotion Detection based on the text input, will help you improve your skills and proficiency. For both projects, you will implement unit testing, perform static code analysis, and incorporate error handling to ensure your applications are reliable and production ready.

What's included

3 readings1 peer review3 app items2 plugins

3 readingsTotal 5 minutes

Module 3 Summary: Creating AI Application and Deploy using Flask3 minutes
Congratulations & Next Steps1 minute
Thanks from the Course Team 1 minute

1 peer reviewTotal 30 minutes

Option 2: Peer-Graded Submission and Evaluation30 minutes

3 app itemsTotal 165 minutes

Practice Project: Sentiment Analysis60 minutes
Final Project: Emotion Detector75 minutes
Option 1: AI-Graded Submission and Evaluation30 minutes

2 pluginsTotal 10 minutes

Practice Project Overview5 minutes
Final Project Overview5 minutes

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Instructor ratings

(328 ratings)

Abhishek Gagneja

IBM

6 Courses277,474 learners

Offered by

IBM

Why people choose Coursera for their career

Felipe M.

Learner since 2018

"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020

"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021

"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

5 stars
71.70%
4 stars
15.18%
3 stars
4.29%
2 stars
3.55%
1 star
5.25%

Showing 3 of 1350

Reviewed on Jan 23, 2023

This is a great course in teaching actual programming skills in Python. It is the most time-consuming course so far in the series but is well deserved.

Reviewed on Apr 1, 2024

Just awesome . Its extensive course to develop and experience runnable instance development and deployment were very helpful to give a boast to my confidence

Reviewed on Mar 2, 2026

too many ambiguous tasks and missing screen shots with the various coding task - took far longer than it should have to identify errors and track down what should have been coded

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.